UoS_Beamforming VS BladeRF_MIMO

Compare UoS_Beamforming vs BladeRF_MIMO and see what are their differences.

UoS_Beamforming

Repository for the models and code used in "UE Tracking Beamforming using a MIMO Software-Defined Radio" MSc project. (by JoseAmador95)

BladeRF_MIMO

MATLAB and Simulink Interface for the BladeRF MIMO layout. (by JoseAmador95)
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UoS_Beamforming BladeRF_MIMO
2 1
38 9
- -
0.0 0.0
almost 2 years ago over 1 year ago
MATLAB MATLAB
- -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

UoS_Beamforming

Posts with mentions or reviews of UoS_Beamforming. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-06.

BladeRF_MIMO

Posts with mentions or reviews of BladeRF_MIMO. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-06.

What are some alternatives?

When comparing UoS_Beamforming and BladeRF_MIMO you can also consider the following projects:

MATLAB-Simulink-Challenge-Project-Hub - This MATLAB and Simulink Challenge Project Hub contains a list of research and design project ideas. These projects will help you gain practical experience and insight into technology trends and industry directions.

PRMLT - Matlab code of machine learning algorithms in book PRML

TIGRE - TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox

matlab2tikz - This program converts MATLABĀ®/Octave figures to TikZ/pgfplots figures for smooth integration into LaTeX.

gramm - Gramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.